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dc.contributor.authorHurtado-Requena, Sandro José 
dc.contributor.authorGarcía-Nieto, José Manuel 
dc.contributor.authorNavas-Delgado, Ismael 
dc.contributor.authorAldana-Montes, José Francisco 
dc.date.accessioned2022-09-09T11:28:14Z
dc.date.available2022-09-09T11:28:14Z
dc.date.created2022
dc.date.issued2022-09-05
dc.identifier.urihttps://hdl.handle.net/10630/24932
dc.description.abstractIn the last decade, clinical trial management systems have become an essential support tool for data management and analysis in clinical research. However, these clinical tools have design limitations, since they are currently not able to cover the needs of adaptation to the continuous changes in the practice of the trials due to the heterogeneous and dynamic nature of the clinical research data. These systems are usually proprietary solutions provided by vendors for specific tasks. In this work, we propose FIMED, a software solution for the flexible management of clinical data from multiple trials, moving towards personalized medicine, which can contribute positively by improving clinical researchers quality and ease in clinical trials. This tool allows a dynamic and incremental design of patients’ profiles in the context of clinical trials, providing a flexible user interface that hides the complexity of using databases. Clinical researchers will be able to define personalized data schemas according to their needs and clinical study specifications. Thus, FIMED allows the incorporation of separate clinical data analysis from multiple trials. The efficiency of the software has been demonstrated by a real-world use case for a clinical assay in Melanoma disease, which has been indeed anonymized to provide a user demonstration. FIMED currently provides three data analysis and visualization components, guaranteeing a clinical exploration for gene expression data: heatmap visualization, clusterheatmap visualization, as well as gene regulatory network inference and visualization. An instance of this tool is freely available on the web at https://khaos.uma.es/fimed. It can be accessed with a demo user account, «researcher», using the password «demo». Category: COMPUTER SCIENCE, THEORY & METHODS. Ranking: 13/110. Journal: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. Year: 2021. DOI: https://doi.org/10.1016/j.cmpb.2021.106496.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isospaes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectEnsayos clínicoses_ES
dc.subjectBases de datos - Gestiónes_ES
dc.subject.otherNoSQLes_ES
dc.titleFIMED: Flexible management of biomedical dataes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitleJISBD 2022es_ES
dc.relation.eventplaceSantiago de Compostelaes_ES
dc.relation.eventdate5/7/2022es_ES


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